A comprehensive review of cyber security vulnerabilities, threats, attacks, and solutions
Internet usage has grown exponentially, with individuals and companies performing multiple
daily transactions in cyberspace rather than in the real world. The coronavirus (COVID-19) …
daily transactions in cyberspace rather than in the real world. The coronavirus (COVID-19) …
Review of recent detection methods for HTTP DDoS attack
GA Jaafar, SM Abdullah, S Ismail - Journal of Computer …, 2019 - Wiley Online Library
With increment in dependency on web technology, a commensurate increase has been
noted in destructive attempts to disrupt the essential web technologies, hence leading to …
noted in destructive attempts to disrupt the essential web technologies, hence leading to …
DLDM: Deep learning-based defense mechanism for denial of service attacks in wireless sensor networks
M Premkumar, TVP Sundararajan - Microprocessors and Microsystems, 2020 - Elsevier
Abstract Wireless Sensor Networks (WSNs) include small battery-based self-governing
devices that are deployed in a distributed manner to supervise the environmental or physical …
devices that are deployed in a distributed manner to supervise the environmental or physical …
Application layer denial-of-service attacks and defense mechanisms: a survey
N Tripathi, N Hubballi - ACM Computing Surveys (CSUR), 2021 - dl.acm.org
Application layer Denial-of-Service (DoS) attacks are generated by exploiting vulnerabilities
of the protocol implementation or its design. Unlike volumetric DoS attacks, these are …
of the protocol implementation or its design. Unlike volumetric DoS attacks, these are …
A survey for user behavior analysis based on machine learning techniques: current models and applications
Significant research has been carried out in the field of User Behavior Analysis, focused on
understanding, modeling and predicting past, present and future behaviors of users …
understanding, modeling and predicting past, present and future behaviors of users …
[HTML][HTML] Bot recognition in a Web store: An approach based on unsupervised learning
Web traffic on e-business sites is increasingly dominated by artificial agents (Web bots)
which pose a threat to the website security, privacy, and performance. To develop efficient …
which pose a threat to the website security, privacy, and performance. To develop efficient …
A comprehensive survey on low-rate and high-rate DDoS defense approaches in SDN: taxonomy, research challenges, and opportunities
Abstract Software Defined Networking (SDN) expands the networking capabilities using
abstraction, open-source protocols, energy efficiency, and programmable features for …
abstraction, open-source protocols, energy efficiency, and programmable features for …
Endogenous security defense against deductive attack: When artificial intelligence meets active defense for online service
Z Zhou, X Kuang, L Sun, L Zhong… - IEEE Communications …, 2020 - ieeexplore.ieee.org
Existing static defenses for online service systems can be fragile and costly due to the
continuity of ubiquitous cyber attacks. LAD has become a promising technology to tackle this …
continuity of ubiquitous cyber attacks. LAD has become a promising technology to tackle this …
IoTTPS: Ensemble RKSVM Model-Based Internet of Things Threat Protection System
An Internet of Things (IoT) network is prone to many ways of threatening individuals. IoT
sensors are lightweight, lack complicated security protocols, and face threats to privacy and …
sensors are lightweight, lack complicated security protocols, and face threats to privacy and …
Rad: A statistical mechanism based on behavioral analysis for ddos attack countermeasure
M Hajimaghsoodi, R Jalili - IEEE Transactions on Information …, 2022 - ieeexplore.ieee.org
Nowadays, Distributed Denial of Service (DDoS) attacks are among the most prevailing and
costly attacks across the networks which challenge a variety of services. While many …
costly attacks across the networks which challenge a variety of services. While many …